Results 91 to 100 of about 522,372 (186)

A distance metric for ordinal data based on misclassification

Journal of Innovative Applied Mathematics and Computational Sciences
Distances between data sets are used for analyses such as classification and clustering analyses. Some existing distance metrics, such as the Manhattan (City Block or L1 ) distance, are suitable for use with categorical data, where the data subtype is ...
Dreas Nielsen
doaj   +1 more source

Data analysis with ordinal and interval dependent variables: examples from a study of real estate salespeople [PDF]

This paper re-examines the problems of estimating the parameters of an underlying linear model using survey response data in which the dependent variables are in discrete categories of ascending order (ordinal, as distinct from numerical) or, where they ...
Barry E. Langford, G. Martin Izzo
core  

Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings [PDF]

, 2020
Andrea Seveso, Andrea Campagner, Davide Ciucci, Federico Cabitza   +3 more
openalex   +1 more source

What is the empirical basis for converting banded ordinal data on numbers of sex partners among MSM into a continuous scale level variable? A secondary analysis of 13 surveys across 17 countries. [PDF]

BMC Med Res Methodol, 2022
Mendez-Lopez A, Hickson F, Jansen K, Lachowsky N, Burns F, Folch C, Velter A, Weatherburn P, Marcus U, von Rüden U, Mirandola M, Gios L, Frankis J, Brennan DJ, Schmidt AJ.   +14 more
europepmc   +1 more source

Rank Regression for Analyzing Ordinal Qualitative Data for Treatment Comparison

, 2012
Liya Fu, You‐Gan Wang, C. J. Liu
openalex   +2 more sources

GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN

, 2014
Nazanin Nooraee, Geert Molenberghs, Edwin R. van den Heuvel   +2 more
openalex   +2 more sources

Describing variability of intensively collected longitudinal ordinal data with latent spline models. [PDF]

Sci Rep
Lunt M, Selby DA, Dixon WG.
europepmc   +2 more sources

Distance mean-square loss function for ordinal text classification of emergency service response codes in disaster management

ETRI Journal
The National Fire Agency (NFA) and National Police Agency (NPA) have defined risk levels based on the severity of disasters. Risk-level data possess the characteristics of ordinal data such as NPA’s Emergency Service Response Code (ESRC) data, which are ...
Eungyeol Lee, Sungwon Byon, Eui-Suk Jung, Eunjung Kwon, Hyunho Park   +4 more
doaj   +1 more source

Penalized mixed-effects ordinal response models for high-dimensional genomic data in twins and families

, 2018
Amanda Elswick Gentry
openalex   +2 more sources

Analysis of ordinal data in clinical and experimental studies. [PDF]

J Vasc Bras, 2020
Miot HA.
europepmc   +1 more source